Studies on Minimum Quantity Lubrication in Turning Process - Simplified and practical evaluation of lubricating and cooling effects of oil mist by means of Finite Element Method -

13301甲第4558号博士（工学）金沢大学博士論文要旨Abstract 以下に掲載：International Journal of Mechanical and Mechatronics Engineering (IJMME) 17(1) pp.104-109 2017. The International Journals of Engineering and Sciences (IJENS). 共著者：Ahmad Shahir Jamaludin, Akira Hosokawa, Tatsuaki Furumoto, Tomohiro Koyano, Yohei Hashimot

Calophyllum-Inophyllum from Pahang Malaysia as biolubricant feedstock for industrial application

Lubricant derived from Tamanu (Calophyllum-Inophyllum) fruits is a non-edible vegetable-based oil that is renewable, biodegradable and sustainable which could be added into the biolubricants products as feedstock for industrial application. The physicochemical properties of the crude Tamanu oil (CTO) including rheological, temperature and corrosion characteristicswere determined for suitability as base stock for lubricant production through comparison between the RBD palm olein (RBD-PO) and crude Jatropha oil (CJO). The lubricants underwent a series of analyses on their properties in terms of physical and chemical characteristics. The density, viscosity, flashpoint, water content, corrosion test, and acid value are measured following the ASTM standards. A four-ball wear test that was subjected to the CTO was conducted to determine its lubrication behavior for friction and wear resistance. Results have shown that the CJO has a better viscosity index compared to the CTO, whereas the CTO is better than the CJO in other measured properties. The properties of the Tamanu oil need to be improved except for its flash point and corrosion inhibition properties

Study on die shoulder patterning method (DSPM) to minimise springback of U-bending

U-bending is increasingly used in the sheet metal industry such as car door pillars. However, springback phenomenon always tends to occur after removing sheet metal from the fixtures and resulting in changing product effectiveness, wasting material as well as increasing manufacturing costs. Thus, minimizing springback in the bending of sheet metal is vital to maintain close geometric tolerances in the deformed part. Many researchers have done investigated and predicted the springback occurrence by experiments and simulations. Neverthessly, there is no actual study on the die shoulder patterning method (DSPM) to reduce springback of hat-shaped parts. In this paper, the hat-shaped part is deformed using the new developed forming method and have been experimented with as well as validated using three-way Anova and graphical analysis. As expected, DSPM dominates the springback sensitivity, with higher contact area reducing the springback of hat-shaped parts. For AISI 1030 of pattern 2, springback is dramatically reduced as the sliding stress between the die shoulder and surface of the blank is optimized

Experimental study on die shoulder patterning method (DSPM) to reduce springback of U-bending hat-shape part (in Press)

In the sheet metal industry, such as car door pillars, U-bending is becoming more common. However, when extracting sheet metal from fixtures, the springback phenomenon often occurs, resulting in a change in product efficacy, waste of material, and an increase in production costs. As a result, minimising springback in sheet metal bending is critical for maintaining tight geometric tolerances in the deformed component. Experiments and simulations have been used by several researchers to investigate and predict the occurrence of springback. Regardless, no studies on the application of die shoulder patterning to reduce springback in hat-shaped parts have been conducted. The hat-shaped component is deformed in this paper using a new develop forming process, which has been tested and validated using new finite element prediction. As predicted, die shoulder patterning dominates springback sensitivity, with hat-shaped parts having a lower springback due to a larger contact region. Springback is greatly reduced in AISI 1030 due to the optimised sliding tension between the die shoulder and the blank board

Gas Separation Performance through Carbon Membrane: The Effect of Polymer Composition

A comprehensive requirement in terms of efficient strategies in collecting reasonably high purity of H2 is predicted due to the development of hydrogen (H2)-based economy. The purpose of a H2- selective membrane is to exploit the high diffusivity features of H2 and also to limit the consequence of lower solubility. Owing by its highly permeable and selective characteristics, carbon membranes provide great potential in gas separation industry. Hence, the objective of this study is to examine the effect of carbonization parameter, in particular the composition of polymer on the properties of gas separation. Matrimid 5218 was used as a precursor for the fabrication of carbon tubular membrane to manufacture a carbon membrane with high quality through the process of carbonization. The surface of tubular ceramic tubes was coated with polymer solution via dip-coating technique. The dip-coating method provides an excellent potential in the manufacture of defect-free carbon membrane. The resultant Matrimid 5218-based carbon tubular membranes were characterized in terms of structural morphology using scanning electron microscopy (SEM), chemical structure using Fourier transform infrared (FTIR), thermal stability, and gas permeation properties using pure gas permeation system. The best formulation for Matrimid 5218-based carbon tubular membrane fabrication was shown by the polymer solution containing 15wt% of Matrimid 5218. The highest H2/N2 selectivity of 401.08±2.56 was achieved by carbon membrane carbonized at 800°C with 2°C/min of heating rate

An essential studies on tribology’s: a short review

Recently, there are a few major malfunctions of machinery and plant have been reported because of their weariness and related reasons, and a few of them causing a great financial loss. It is believed that these continuous failures lead to more serious breakdowns of the machinery and expensive. This is closely related to the tribology, in which tribology is the science and engineering that encompasses how interrelating surfaces behave in comparative motion in natural and artificial systems. It is incorporating the research and use of the values of wear, lubrication also friction

Effect of the current and pressure on weld strength for IBS rebar machine

The increase of population results to the increase of housing in Malaysia. One of the technologies of building houses is using the technique of prefabrication by manufacturing the walls, roof and pillars in factory and assembling the part at the construction site. This research is to study the effect of pressure and time on weld strength of IBS Rebar. In conducting the study, the data for the parameter was collected from the IBS fabrication site in Mahligai Idaman in Kota Bharu, Kelantan. The machine used spot weld to joint the concrete rebar together to make the structure of prefab. The parameter that were taken for this study are current and pressure. The result showed the effect of current and pressure to Ultimate Tensile Stress and Young Modulus. These result suggest that the effect of current and pressure significantly affect the strength of the weldment of the spot weld. On this basis, the parameter of current and pressure need to be account when run the IBS rebar machine

IOT-Based Energy Monitoring System for Energy Conservation

The aim of this project is to develop an Internet of Things (IoT) based Energy Monitoring System to reduce energy waste and cutting down energy cost. Therefore, it needs a system which provide efficient energy consumption management. For the starting of designing an IoT-based Energy Monitoring System, different sensor and calculated AC measurement methods were studied. The development of this system is to integrate each of the sensor, energy measuring device and IoT system into one complete module. The concept of Wireless Sensor Network (WSN) was implemented in this project. The WSN obtained data information from sensor and send them to the cloud through the IoT network for cloud storage of the ThingSpeak platform. The system contains two input signal which is voltage and current. The device that transfers the data or information from the energy monitoring device to the cloud storage is the ESP8266 Wi-Fi module. The output is the energy consumption that has been used according to the real-time data measurement. Lastly, the data that is transmitted to the cloud can be monitored through the mobile application ThingView. In conclusion, this system is necessary because it can control and manage energy consumption to avoid wastage and promote energy conservation

Simulation Modeling The Performance of Ocean Thermal Energy Conversion Power Cycle

Ocean Thermal Energy Conversion (OTEC) is a foundation for an appealing renewable energy technology with regards to its vast and inexhaustible resources of energy, renewability, stability, and sustainable output. The principle of an OTEC power plant is to exploit the energy stored in between the upper layer of warm surface seawater (heat source), and the cold layer of deep seawater (heat sink). The plant operates based on a Rankine cycle to produce electricity between the source and the sink at the minimum temperature difference of approximately 20 K. The main objective of this study is to evaluate the performance of the proposed OTEC closed Rankine cycle using ammonia as the working fluid, to be paralleled with basic OTEC Rankine cycle. Preliminary simulation was performed at the initial stage of the study to validate the simulation model by referring to previous OTEC studies. The same developed model was deployed to test the efficiency of the proposed modified OTEC Rankine cycle, resulting in an enhancement in terms of thermal cycle performance from 3.43% to 7.98%. This study has revealed that the proposed OTEC closed Rankine cycle which introduced an interstage superheating as well as an improved condenser cooling system, augmented the system competence of an OTEC power cycle

The Implementation of Transfer Learning by Convolution Neural Network (CNN) for Recognizing Facial Emotions

The primary objective of this study is to develop a real-time system that can predict the emotional states of an individual who commonly undergoes various experiences. The primary methodology suggested in this research for detecting facial expressions involves the integration of transfer learning techniquesthat incorporate convolutional neural networks (CNNs), along with a parameterization approach that minimizes the number of parameters. The FER-2013, JAFFE, and CK+ datasets were jointly used to train the CNN architecture for real-time detection, which broadened the range of emotional expressions that may be recognized. The proposed model has the capability to identify various emotions, including but not limited to happiness, fear, surprise, anger, contempt, sadness, and neutrality. Several methods were employed to assess the efficacy of the model's performance in this study. The experimental results indicate that the proposed approach surpasses previous studies in terms of both speed and accuracy